Author

Yu Fan

Tsinghua University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1

Frequent Co-Authors

Huiling Yu· 2 shared Luming LiiD· 2 shared Yuxuan WuiD· 2 shared Brian D. GrossiD· 1 shared Daniel S. T. Hughes· 1 shared David A. WheeleriD· 1 shared F D MengiD· 1 shared Guiqing WangiD· 1 shared

Activity by Year

2016-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersNeuroscience

Huiling Yu

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

STN-DBS frequency-tuned beta subband dynamics are associated with speech tempo in Parkinson's disease

Haiyu Tian, Yuxuan Wu, Yu Fan, Zixiao Yin, Yi Guo, F D Meng, Jianguo Zhang, Huiling Yu, Luming Li

The paper links STN-DBS frequency-tuned beta subband dynamics to speech tempo in Parkinson's disease, suggesting a potential neural marker for speech modulation.

bioRxiv · Jun 10, 2026 · PreprintNeuroscience

Patient-Calibrated Dynamical Modeling and Embedded Trend-Zone Predictive Control for Closed-Loop Deep Brain Stimulation in Parkinson's Disease

Yu Fan, Lingxiao Guan, Yuxuan Wu, Xuesong Luo, Huiling Yu, Luming Li

This paper develops a patient-calibrated dynamical model and predictive controller for closed-loop deep brain stimulation in Parkinson's disease, showing improved performance over existing control strategies.

bioRxiv · May 21, 2026 · PreprintNeuroscience

A novel core genome approach to enable prospective and dynamic monitoring of infectious outbreaks

Helen van Aggelen, Raivo Kolde, Hareesh Chamarthi, Joshua Loving, Yu Fan, John T. Fallon, Weihua Huang, Guiqing Wang, Mary M. Fortunato-Habib, Juan J. Carmona, Brian D. Gross

The paper introduces a core genome approach for prospective pathogen monitoring using conserved sequences, showing improved accuracy in identifying outbreak samples compared to traditional methods.

bioRxiv · Jan 5, 2019 · PreprintBioinformatics

Accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling for sequencing data

Yu Fan, Liu Xi, Daniel S. T. Hughes, Jianjun Zhang, Jianhua Zhang, P. Andrew Futreal, David A. Wheeler, Wenyi Wang

bioRxiv · May 25, 2016Bioinformatics